UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRBC06043


Registration ID:
207142

Page Number

268-274

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Title

AUTONOMOUS METRO TRAIN WITH AUTOMATIC OBSTACLE DETECTION

Abstract

The major problem associated with the train transportation is either due to track failure or due to obstacles at the junctions. As today's trains are almost autonomous, the risk for the safety of passengers becomes a question mark. Our project entitled as autonomous trains with automatic obstacle detection provides a solution for this problem with obstacle detection by using ultrasonic sensor. When it detects any faults, the engine will automatically slow down and can reduce the risk of autonomous train. Hence, the efficiency of autonomous train will increases.

Key Words

AUTONOMOUS METRO TRAIN WITH AUTOMATIC OBSTACLE DETECTION

Cite This Article

"AUTONOMOUS METRO TRAIN WITH AUTOMATIC OBSTACLE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.268-274, April-2019, Available :http://www.jetir.org/papers/JETIRBC06043.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AUTONOMOUS METRO TRAIN WITH AUTOMATIC OBSTACLE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp268-274, April-2019, Available at : http://www.jetir.org/papers/JETIRBC06043.pdf

Publication Details

Published Paper ID: JETIRBC06043
Registration ID: 207142
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 268-274
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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